Disease detection on the leaves of the tomato plants by using deep learning
Agro-Geoinformatics, 2017, Fairfax/AMERİKA BİRLEŞİK DEVLETLERİ, 7 Ağustos 2017, s. 1-1
DURMUŞ HALİL,GÜNEŞ ECE OLCAY,KIRCI MÜRVET
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Deep Learning Techniques for Improving Estimations of Key Parameters for Efficient Flight Planning
IEEE/AIAA 38th Digital Avionics Systems Conference (DASC), San Diego, CA/AMERİKA BİRLEŞİK DEVLETLERİ, 8 Eylül 2019, s. 1-8, ISSN: Electronic ISSN: 2155-7209, Print on Demand(PoD) ISSN: 2155-7195
UZUN MEVLÜT, DEMİREZEN MUSTAFA UMUT, KOYUNCU EMRE, İNALHAN GÖKHAN, LOPEZ JAVİER, VİLAPLANA MİGUEL
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Deep Convolutional Learning-Aided Detector for Generalized Frequency Division Multiplexing with Index Modulation
2019 IEEE 30th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), 8 Eylül 2019
TURAN MERVE,ÖZTÜRK ERSİN,ÇIRPAN HAKAN ALİ
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Vehicle Detection Using Different Deep Learning Algorithms from Image Sequence
Baltic Journal of Modern Computing, Vol. 8, No. 2, Haziran 2020, s. 347-358, ISSN: 2255-8950
ÇEPNİ SÜMEYYE,ATİK MUHAMMED ENES,DURAN ZAİDE
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Signature recognition application based on deep learning
25th Signal Processing and Communications Applications Conference (SIU), 15 Mayıs 2017
ÇALIK NURULLAH,KURBAN ONUR CAN,YILMAZ ALİ RIZA,DURAK ATA LÜTFİYE,YILDIRIM TÜLAY
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Deep learning under H2O framework: A novel approach for quantitative analysis of discharge coefficient in sluice gates
JOURNAL OF HYDROINFORMATICS, Vol. 22, No. 6, Ocak 2020, s. 1603-1619, ISSN: 1464-7141
GHORBANI MOHAMMAD ALI, SALMASİ FARZİN, SAGGİ MANDEEP KAUR, BHATİA AMANDEEP SİNGH, KAHYA ERCAN, NOROUZİ REZA
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Application of deep learning method for air pollution forecasting on Ankara
The 1st International Conference onAir – Land – Sea Interaction, 4 Nisan 2019
ÜNAL ZEYNEP FERİHA,DİNÇ UMUR,TOROS HÜSEYİN
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Comparative Analysis on Deep Learning based Pan-sharpening of Very High-Resolution Satellite Images
International Journal of Environment and Geoinformatics, Vol. 8, No. 2, Haziran 2021, s. 150-165, ISSN: 2148-9173
WANG PEİJUAN, ALGANCI UĞUR, SERTEL ELİF
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Comparative Research on Deep Learning Approaches for Airplane Detection from Very High-Resolution Satellite Images
Remote Sensing, Vol. 12, No. 3, Şubat 2020, s. 458, ISSN: -
ALGANCI UĞUR,SOYDAŞ MEHMET,SERTEL ELİF
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DeepMQ: A Deep Learning Approach Based Myelin Quantification in Microscopic Fluorescence Images
2018 26th European Signal Processing Conference (EUSIPCO), 3 Eylül 2018
ÇAPAR ABDULKERİM,ÇİMEN YETİŞ SİBEL,TÖREYİN BEHÇET UĞUR,KERMAN BİLAL ERSEN
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Explicit Topological Priors for Deep-Learning Based Image Segmentation Using Persistent Homology
INFORMATION PROCESSING IN MEDICAL IMAGING, IPMI 2019, 2 Haziran 2019
CLOUGH JAMES R.,ÖKSÜZ İLKAY,BRYNE NİCHOLAS,SCHNABEL JULİA A.,KİNG ANDREW P.
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Partial Discharge Pattern Classification based on Deep Learning for Defect Identification in MV Cable Terminations
2020 IEEE International Conference on High Voltage Engineering and Application (ICHVE), 6 Eylül 2020
UCKOL HALİL IBRAHİM,İLHAN SUAT,ÖZDEMİR AYDOĞAN
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Deep learning for rectal spacer stratification in prostate boost radiotherapy
ESTRO 2020 European Society for Therapeutic Radiology and Oncology Meeting, Viyana/AVUSTURYA, 28 Kasım 2020
THOMAS CHRİSTOPHER, DREGELY ISABEL, ÖKSÜZ İLKAY, RBANO TERESA GUERRERO U, GREENER ANTONY, KİNG ANDREW P., BARRİNGTON SALLY
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Deep Learning Using K-Space Based Data Augmentation for Automated Cardiac MR Motion Artefact Detection
MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION - MICCAI 2018, Vol. 11070, No. null, 16 Eylül 2018, s. 250-258
ÖKSÜZ İLKAY,RUİJSİNK BRAM,PUYOL-ANTON ESTHER,BUSTİN AURELİEN,CRUZ GASTAO,PRİETO CLAUDİA,RUECKERT DANİEL,SCHNABEL JULİA A.,KİNG ANDREW P.
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High-quality segmentation of low quality cardiac MR images using k-space artefact correction
MIDL 2019 - Medical Imaging with Deep Learning, Londra/İNGİLTERE, 8 Temmuz 2019
ÖKSÜZ İLKAY, CLOUGH JAMES R., BAİ WENJİA, RUİJSİNK BRAM, PUYOL-ANTON ESTHER, CRUZ GASTAO, PRİETO CLAUDİA, KİNG ANDREW P., SCHNABEL JULİA A.
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Deep learning for rectal spacer stratification in prostate boost radiotherapy
European Society for Radiotherapy & Oncology Conference ESTRO 2020, Viyana/AVUSTURYA, 29 Kasım 2020
THOMAS CHRİSTOPHER, ÖKSÜZ İLKAY, KİNG ANDREW P., GUERRERO-URBANO TERESA, GREENER ANTONY, DREGELY ISABEL, BARRİNGTON SALLY
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Prediction of voxelwise mandibular osteoradionecrosis maps in HNC patients using deep learning
European Society for Radiotherapy & Oncology Conference ESTRO 2019, Milan/İTALYA, 26 Nisan 2019
HUMBERT-VİDAN LAİA, ÖKSÜZ İLKAY, PATEL VİNOD, ADJOGATSE DELALİ, KİNG ANDREW P., RBANO TERESA GUERRERO U
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A Deep Learning-Based Pipeline for Teaching Control Theory: Transforming Feedback Control Systems on Whiteboard Into MATLAB
IEEE Access, Vol. 8, Ocak 2020, s. 84631-84641, ISSN: 2169-3536
ERDEM DORUKHAN,BEKE AYKUT,KUMBASAR TUFAN
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Learning with Type-2 Fuzzy activation functions to improve the performance of Deep Neural Networks
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, Vol. 85, Ekim 2019, s. 372-384, ISSN: 0952-1976
BEKE AYKUT,KUMBASAR TUFAN
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Analysis of Ophthalmic Disorders on Retinal Vessels Using Deep Learning Segmentation Methods
The Fourth International Symposium on Engineering, Artificial Intelligence and Applications (ISEAIA 2016), 2 Kasım 2016
ARIBAŞ ERKE,DAĞLARLI EVREN
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